# -*- coding: utf-8 -*-
from datetime import timedelta
# 引入依赖

from jms.dwd.oms.dwd_yl_oms_oms_waybill_incre_dt import jms_dwd__dwd_yl_oms_oms_waybill_incre_dt
from jms.dm.dm_daily_waybill_weight_difference_detail_dt import jms_dm__dm_daily_waybill_weight_difference_detail_dt
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

jms_dm__dm_dm_daily_waybill_weight_difference_sum_dt = SparkSqlOperator(
    task_id='jms_dm__dm_dm_daily_waybill_weight_difference_sum_dt',
    email=['houwenlong@jtexpress.com','yl_bigdata@yl-scm.com'],
    depends_on_past=True,
    pool_slots=3,
    master='yarn',
    name='jms_dm__dm_daily_waybill_weight_difference_sum_dt_{{ execution_date| date_add(1) | cst_ds }}',
    sql='jms/dm/dm_daily_waybill_weight_difference_sum_dt/execute.hql',
    driver_memory='3G' , 
    executor_memory='4G' , 
    executor_cores=2 , 
    num_executors=10 , 
    yarn_queue='pro',
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 12 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'             : '2G' , 
          },
    hiveconf={'hive.exec.dynamic.partition': 'true',
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions.pernode': 200,
              'hive.exec.max.dynamic.partitions': 200
              },
    execution_timeout=timedelta(minutes=60),
)

jms_dm__dm_dm_daily_waybill_weight_difference_sum_dt << [jms_dwd__dwd_yl_oms_oms_waybill_incre_dt,
                                                         jms_dm__dm_daily_waybill_weight_difference_detail_dt
                                                         ]
